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Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteModernizing on AWS is a staged business and technology change—not simply moving servers. Teams first assess applications and organizational readiness, establish a secure operating foundation, and prove their approach on a small set of workloads. They can then scale migration while choosing the right degree of change for each application.
Migration moves workloads; modernization changes how teams work
A workload can run in AWS without becoming more elastic, resilient, easier to deploy, or easier to operate. AWS’s application modernization guidance cautions that rehosting—often called lift and shift—does not automatically deliver those benefits. Modernization may involve changing an application’s architecture or code, its infrastructure, and the ways teams build, secure, deploy, and operate it.
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That distinction matters because moving a portfolio and modernizing every application are not the same project. A sound AWS migration strategy treats each workload as a decision: what business outcome is needed, what change is justified, and what risks or operating constraints must be addressed? More extensive change can create a better fit for future needs, but it also brings different delivery demands. Rewriting everything or breaking every system into microservices is not a default requirement.
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AWS Prescriptive Guidance frames large-scale migration as assess, mobilize, migrate. Its method is a recommended approach, not a rule that every enterprise must follow identically. The AWS migration guidance describes mobilization as eight workstreams delivered with a sprint-based approach; the useful principle is to build repeatable organizational and technical capability before multiplying migrations.
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1. Assess the portfolio and readiness
Build a view of the applications, their dependencies, business importance, and current operating constraints. Assess readiness across business, people, governance, platform, security, and operations—not just whether an application can technically run in the cloud. Develop a migration business case and total-cost view before choosing a schedule or assuming that infrastructure pricing alone determines the outcome.
2. Mobilize the organization and platform
Prepare the secure, scalable AWS landing zone and the governance needed to operate it. Establish security and operations automation, clarify migration decision-making, and develop skills, leadership support, and change-management practices. AWS’s guidance also calls for detailed portfolio discovery and starting with a small set of business applications, so teams can test the approach while the foundation is being established.
3. Migrate, modernize, and manage deliberately
Move workloads in a controlled sequence, using lessons from initial applications to refine the operating model and delivery process. AWS’s modernization strategy guide describes a related loop: assess readiness, select one or two applications, modernize them for current and future business needs, and use the experience to create a basis for modernization at scale. It organizes this work as assess, modernize, manage.
Choose a modernization path workload by workload
Compare options against business value and urgency, dependencies and criticality, security and recovery needs, team capability, and the cost and risk of change. Include migration, any period of dual-running, and ongoing operation in the cost view. The right path is the least disruptive approach that meets the workload’s business and technical needs—not the most fashionable architecture.
| Approach | What changes | When to consider it |
|---|---|---|
| Rehost (lift and shift) | Move the workload with little or no application change. | When relocation is the immediate goal and the existing application can continue to meet requirements. Do not assume the move alone will improve elasticity, resilience, deployment, or management. |
| Replatform | Move the workload while making a limited change to its platform or infrastructure. | When a bounded platform change is justified, but a larger redesign is not. |
| Refactor or rearchitect | Change application code or architecture to better meet operational or business needs. | When the value of a deeper change justifies its delivery effort, risk, and skills requirements. |
| Rewrite | Replace the existing application with a newly built one. | When the case for replacement is stronger than continuing to adapt the existing system. |
These are options to evaluate, not a maturity ladder every application must climb. For each workload, document the desired outcome, dependencies, availability and recovery objectives, compliance obligations, delivery risk, and who will operate the result. If a system is business-critical or difficult to recover, its migration sequence and validation should reflect that operational reality.
What enterprise examples show—and what they do not
Customer cases can illustrate execution patterns, but their reported results are specific to those organizations and should not be treated as forecasts for another migration.
Ninestars: phase the rollout and prove the approach
AWS’s Ninestars case study describes proofs of concept and a pilot before larger workloads entered production. AWS reports 79 implementations across 6,000 VMs, scale 10 times beyond the legacy environment, SLA reliability rising from 92% to 99.7%, recovery objectives within one hour, and 60% lower TCO. These are case-specific figures reported by AWS; they are not typical or guaranteed outcomes.
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1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsPenn Mutual: combine migration with incremental modernization
AWS’s Penn Mutual case study describes a move from VMware toward native AWS services, including rebuilding applications on EC2, moving workloads to ECS, and replacing Red Hat Linux with Amazon Linux 2023 during the migration. AWS reports a pace of 40–80 VMs migrated monthly and a schedule revised from 24 months to 18 months. These figures describe the case’s reported progress, not a general delivery benchmark. CIO Greg Driscoll summarized the approach: “We didn’t just migrate workloads; we took the opportunity to modernize them as we went.”
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Where AWS programs and tools may fit
AWS’s Migration & Modernization overview lists AWS Transform, workload areas for VMware, SAP, Microsoft, and mainframes, Optimization and Licensing Assessment, the Migration Acceleration Program (MAP), and Experience-Based Acceleration. These are potential inputs to planning and execution; their suitability depends on the estate and the work required.
AWS describes MAP as a three-phase program—Assess, Mobilize, and Migrate & Modernize—with methodology, tools, training, Migration Competency Partner expertise, and financial investments. Check the MAP page directly for current conditions and eligibility; program support or funding should not be assumed.
AWS’s September 2025 AWS Transform post reports aggregate usage of 1,009,000 hours of manual effort saved and 1.8 billion lines of code analyzed. The same post cites Experian’s Data Office modernizing seven legacy .NET applications, with a reported 40% reduction in developer effort and approximately 300 engineering days saved. Those are AWS-reported figures and a vendor case example, not independent estimates or expected results for a typical enterprise.
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Make the first application a learning investment
Use an initial one or two applications to test more than the technical move. Check that teams can provision and secure the environment, observe and operate the application, meet its recovery needs, and deploy changes through the intended process. Record what required manual intervention, which dependencies were missed, and which governance or skills gaps slowed delivery. Then adjust the landing zone, migration playbook, and workload choices before scaling.
At portfolio scale, modernization is an ongoing management decision: some workloads may need only relocation, while others merit deeper architectural or code changes. A clear rationale for each choice, backed by operational readiness and lessons from early applications, helps prevent both an indiscriminate rewrite program and a lift-and-shift effort mistaken for transformation.
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